1 / 18

Guided Pathways to Success at SIUC

Guided Pathways to Success at SIUC. Combining streamlined degree paths with early-warning intervention . Scaling Up: Effective Practices in Higher Education October 31 st , 2013. Presentation Outline. Some background and definitions A look at the Process Flowchart (Logic Model)

misha
Download Presentation

Guided Pathways to Success at SIUC

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Guided Pathways to Success at SIUC Combining streamlined degree paths with early-warning intervention  • Scaling Up: Effective Practices in Higher Education October 31st , 2013

  2. Presentation Outline • Some background and definitions • A look at the Process Flowchart (Logic Model) • Essential Components • General Education Credit Hour Reduction • Remove course redundancies across programs • Where we are at SIUC • Predictive capability of “Early intervention metrics” • Flexible Components • Lessons Learned and Potential Pitfalls

  3. Purpose and Outcomes • Purpose • Removing barriers to and providing support for successful degree completion • Provide data-driven support structures for students to remain on degree paths • Outcomes • Increased retention rates • Increased graduation rates • Easily calculated metrics

  4. Process Flowchart

  5. Essential Components • Top-level Institutional Commitment • Broad-based General Education Faculty Committee • Significant institutional buy-in to curricular technology platforms for student data collection (For Early Warning system)

  6. Step 2

  7. General Education Credit Hour Reduction • General Education requirements represent the first programmatic step in the process of streamlining degrees • The requirements cut across degree programs, so streamlining has broad impact • Institutionally, it is (almost) mandatory to have a well-respected faculty committee that oversees this work • The work at SIU is done by the “Core Curriculum Executive Council”

  8. Core Curriculum Reduction at SIU Creativity and flexibility required for “double dipping” across degree paths • STEM Fields • Students in use advanced courses in science and math to satisfy general education requirements in these categories. • Microeconomics or Macroeconomics satisfies a general education requirement in Social Science. • Art and Design • Students take courses in Art History to satisfy their general education Humanities requirement

  9. Step 3

  10. Remove course redundancies across programs • Much harder work, since it involves program changes at department level • Again, look for changes with broad impact in areas that cut across Colleges and Departments • Work can often help to reconsider the design of important courses • Example: Statistics

  11. Statistics Redesign at SIUC • Why the proliferation of Statistics courses? • Those (**%#*%!!) Mathematicians just want to teach Math! • “Our” program is special. It requires both a statistics course and an experimental design course. (Because “our” experiments are really special!) • Cooperation from the Chairs of Math and Educational Psychology • Core Statistics and Research Design taught in Large Lecture Sections with Hybrid/Flipped classrooms (1 lecture a week) • Twice a week students meet in small departmental level section in computer labs for discipline specific material • Win-win for departments by optimizing faculty resources.

  12. Where are we in the process?

  13. OK-Now we’ve got the degree path. How do we keep them on it? • Keeping students on the optimally designed degree path is at least as important as designing the degree path. • Computer-aided instruction (CAI) platforms permit real-time data retrieval. • CAI allows integration across programs and courses.

  14. Early Intervention Metric in Math at SIU • Week 3 • For all students in Math 107-108 (Intermediate Algebra/College Algebra) • 25%*(In-class pretest) + 25%*(HW) + 50%*(Test 1) • 25% (preparation) + 25%(motivation) + 50% (achievement) • RED: 0% to 55% • ORANGE: 56% to 65% • YELLOW: 65% to 75% • GREEN: 76% to 100% • Students also receive an intervention score in week 7 and week 11 that is simply their course grade at that time. • All of this data is given to the students and to colleges and advising staff.

  15. Does the Early Intervention Metric Correctly Identify Students? • Intermediate Algebra : Success rate of Week 3 metric (C or better) • Red/Orange 22/86 (25.6%) • Yellow 5/12 (41.6%) • Green 54/64 (84.4%) • College Algebra : Success rate of Week 3 metric (C or better) • Red/Orange 31/155 (20%) • Yellow 18/40 (45%) • Green 142/193 (73.6%)

  16. Early-intervention platforms for student data collection • The success of the Early Intervention System in Math has prompted the SIUC Provost to put together a Task-force on Early Intervention Technology. • Coordinate data collection and metrics across critical gateway courses • Coordinate software platforms for seamless integration of data

  17. What are the Flexible Components for your campus? • Mechanism for General Education streamlining • Campus curricular integration methods. • Campus course articulation and course equivalencies • Early intervention metric structure

  18. Lessons Learned and Potential Pitfalls • Strong leadership an essential requirement • Departments will try to protect credit hour generation and core courses. • Try to create "win-win" situations when eliminating course redundancies.

More Related